 Connection
Iain Konigsberg to Genome-Wide Association Study
This is a "connection" page, showing publications Iain Konigsberg has written about Genome-Wide Association Study.
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Connection Strength |
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0.796 |
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Konigsberg IR, Vu T, Liu W, Litkowski EM, Pratte KA, Vargas LB, Gilmore N, Abdel-Hafiz M, Manichaikul A, Cho MH, Hersh CP, DeMeo DL, Banaei-Kashani F, Bowler RP, Lange LA, Kechris KJ. Proteomic networks and related genetic variants associated with smoking and chronic obstructive pulmonary disease. BMC Genomics. 2024 Sep 02; 25(1):825.
Score: 0.550
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Li X, Chen H, Selvaraj MS, Van Buren E, Zhou H, Wang Y, Sun R, McCaw ZR, Yu Z, Jiang MZ, DiCorpo D, Gaynor SM, Dey R, Arnett DK, Benjamin EJ, Bis JC, Blangero J, Boerwinkle E, Bowden DW, Brody JA, Cade BE, Carson AP, Carlson JC, Chami N, Chen YI, Curran JE, de Vries PS, Fornage M, Franceschini N, Freedman BI, Gu C, Heard-Costa NL, He J, Hou L, Hung YJ, Irvin MR, Kaplan RC, Kardia SLR, Kelly TN, Konigsberg I, Kooperberg C, Kral BG, Li C, Li Y, Lin H, Liu CT, Loos RJF, Mahaney MC, Martin LW, Mathias RA, Mitchell BD, Montasser ME, Morrison AC, Naseri T, North KE, Palmer ND, Peyser PA, Psaty BM, Redline S, Reiner AP, Rich SS, Sitlani CM, Smith JA, Taylor KD, Tiwari HK, Vasan RS, Viali S, Wang Z, Wessel J, Yanek LR, Yu B, Dupuis J, Meigs JB, Auer PL, Raffield LM, Manning AK, Rice KM, Rotter JI, Peloso GM, Natarajan P, Li Z, Liu Z, Lin X. A statistical framework for multi-trait rare variant analysis in large-scale whole-genome sequencing studies. Nat Comput Sci. 2025 Feb; 5(2):125-143.
Score: 0.142
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Selvaraj MS, Li X, Li Z, Van Buren E, Haidermota S, Postupaka D, Hornsby W, Bis JC, Brody JA, Cade BE, Chung RH, Curran JE, Damrauer SM, de Las Fuentes L, de Vries PS, Duggirala R, Freedman BI, Graff M, Guo X, Hidalgo BA, Hou L, Irvin R, Judy R, Kalyani RR, Kelly TN, Konigsberg IR, Kral BG, Kwee LC, Levy D, Li C, Manichaikul AW, Martin LW, Montasser ME, Morrison AC, Naseri T, North KE, O'Connell JR, Palmer ND, Peyser PA, Reiner AP, Shah SH, Smit RAJ, Smith JA, Taylor KD, Tiwari H, Tsai MY, Viali S, Wang Z, Wang Y, Zhao W, Arnett DK, Blangero J, Boerwinkle E, Bowden DW, Carlson JC, Chen YI, Ellinor PT, Fornage M, He J, Heard-Costa N, Kaplan RC, Kardia SLR, Kooperberg C, Kraus WE, Lange LA, Loos RJF, Mitchell BD, Psaty BM, Rader DJ, Redline S, Rich SS, Yanek LR, Gibbs R, Gabriel S, Viaud-Martinez KA, Dutcher SK, Germer S, Kim R, Rotter JI, Lin X, Peloso GM, Natarajan P. Whole genome sequence analysis of low-density lipoprotein cholesterol across 246 K individuals. Genome Biol. 2025 Sep 09; 26(1):273.
Score: 0.037
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Dalapati T, Wang L, Jones AG, Cardwell J, Konigsberg IR, Bossé Y, Sin DD, Timens W, Hao K, Yang I, Ko DC. Context-specific eQTLs provide deeper insight into causal genes underlying shared genetic architecture of COVID-19 and idiopathic pulmonary fibrosis. HGG Adv. 2025 Apr 10; 6(2):100410.
Score: 0.035
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Hill AC, Guo C, Litkowski EM, Manichaikul AW, Yu B, Konigsberg IR, Gorbet BA, Lange LA, Pratte KA, Kechris KJ, DeCamp M, Coors M, Ortega VE, Rich SS, Rotter JI, Gerzsten RE, Clish CB, Curtis JL, Hu X, Obeidat ME, Morris M, Loureiro J, Ngo D, O'Neal WK, Meyers DA, Bleecker ER, Hobbs BD, Cho MH, Banaei-Kashani F, Bowler RP. Large scale proteomic studies create novel privacy considerations. Sci Rep. 2023 06 07; 13(1):9254.
Score: 0.032
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Connection Strength
The connection strength for concepts is the sum of the scores for each matching publication.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
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